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<div class="title">NEGEMMConvolutionLayer.h</div>  </div>
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<a href="_n_e_g_e_m_m_convolution_layer_8h.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) 2017-2018 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="preprocessor">#ifndef __ARM_COMPUTE_NEGEMMCONVOLUTIONLAYER_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="preprocessor">#define __ARM_COMPUTE_NEGEMMCONVOLUTIONLAYER_H__</span></div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_i_function_8h.xhtml">arm_compute/runtime/IFunction.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_n_e_arithmetic_addition_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NEArithmeticAdditionKernel.h</a>&quot;</span></div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_n_e_col2_im_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NECol2ImKernel.h</a>&quot;</span></div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_n_e_fill_border_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NEFillBorderKernel.h</a>&quot;</span></div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_n_e_g_e_m_m_assembly_base_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NEGEMMAssemblyBaseKernel.h</a>&quot;</span></div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_n_e_g_e_m_m_interleave4x4_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NEGEMMInterleave4x4Kernel.h</a>&quot;</span></div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_n_e_g_e_m_m_matrix_multiply_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NEGEMMMatrixMultiplyKernel.h</a>&quot;</span></div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_n_e_g_e_m_m_transpose1x_w_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NEGEMMTranspose1xWKernel.h</a>&quot;</span></div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_n_e_im2_col_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NEIm2ColKernel.h</a>&quot;</span></div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_n_e_weights_reshape_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NEWeightsReshapeKernel.h</a>&quot;</span></div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>&quot;</span></div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_memory_group_8h.xhtml">arm_compute/runtime/MemoryGroup.h</a>&quot;</span></div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_assembly_helper_8h.xhtml">arm_compute/runtime/NEON/AssemblyHelper.h</a>&quot;</span></div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_n_e_activation_layer_8h.xhtml">arm_compute/runtime/NEON/functions/NEActivationLayer.h</a>&quot;</span></div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_n_e_g_e_m_m_lowp_matrix_multiply_core_8h.xhtml">arm_compute/runtime/NEON/functions/NEGEMMLowpMatrixMultiplyCore.h</a>&quot;</span></div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_n_e_g_e_m_m_lowp_output_stage_8h.xhtml">arm_compute/runtime/NEON/functions/NEGEMMLowpOutputStage.h</a>&quot;</span></div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="runtime_2_tensor_8h.xhtml">arm_compute/runtime/Tensor.h</a>&quot;</span></div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;<span class="preprocessor">#include &lt;memory&gt;</span></div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;{</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;<span class="keyword">class </span>ITensor;</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;</div><div class="line"><a name="l00056"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml">   56</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml">NEConvolutionLayerReshapeWeights</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_function.xhtml">IFunction</a></div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;{</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml#ad20905ddab1af56320f0be3d9921fd6c">NEConvolutionLayerReshapeWeights</a>(std::shared_ptr&lt;IMemoryManager&gt; memory_manager = <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml#a65f7ed488a31b8d40862e6f06cd7e70c">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *weights, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *biases, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <span class="keywordtype">bool</span> transpose1xW);</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;    <span class="keyword">static</span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml#aa73f27bae7aaea24f0950554a75eabb5">validate</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *weights, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *biases, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output, <span class="keywordtype">bool</span> transpose1xW);</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;    <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a>() <span class="keyword">override</span>;</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;    <a class="code" href="classarm__compute_1_1_memory_group_base.xhtml">MemoryGroup</a>              _memory_group;</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml">NEWeightsReshapeKernel</a>   _weights_reshape_kernel;</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w_kernel.xhtml">NEGEMMTranspose1xWKernel</a> _weights_transposed_kernel;</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;    <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a>                   _weights_reshaped;</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;    <span class="keywordtype">bool</span>                     _transpose1xW;</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;};</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;</div><div class="line"><a name="l00102"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml">  102</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml">NEGEMMConvolutionLayer</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_function.xhtml">IFunction</a></div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;{</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml">NEGEMMConvolutionLayer</a>(<span class="keyword">const</span> std::shared_ptr&lt;IMemoryManager&gt; &amp;memory_manager = <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml">NEGEMMConvolutionLayer</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml">NEGEMMConvolutionLayer</a> &amp;) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml">NEGEMMConvolutionLayer</a>(<a class="code" href="classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml">NEGEMMConvolutionLayer</a> &amp;&amp;) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml">NEGEMMConvolutionLayer</a> &amp;operator=(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml">NEGEMMConvolutionLayer</a> &amp;) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml">NEGEMMConvolutionLayer</a> &amp;operator=(<a class="code" href="classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml">NEGEMMConvolutionLayer</a> &amp;&amp;) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml#a65f7ed488a31b8d40862e6f06cd7e70c">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *weights, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *biases, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acbf8f8a6dd185de04c1981c57a8963cf">conv_info</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_weights_info.xhtml">WeightsInfo</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7cb842ebfe255726066039853a4322f0">weights_info</a> = <a class="code" href="classarm__compute_1_1_weights_info.xhtml">WeightsInfo</a>(),</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;                   <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> &amp;dilation = <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(1<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 1<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> &amp;act_info = <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>());</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;    <span class="keyword">static</span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml#aa73f27bae7aaea24f0950554a75eabb5">validate</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *weights, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *biases, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &amp;conv_info,</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;                           <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_weights_info.xhtml">WeightsInfo</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7cb842ebfe255726066039853a4322f0">weights_info</a> = <a class="code" href="classarm__compute_1_1_weights_info.xhtml">WeightsInfo</a>(), <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> &amp;dilation = <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(1<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 1<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> &amp;act_info = <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>());</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;    <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a>() <span class="keyword">override</span>;</div><div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;    <span class="keywordtype">void</span> configure_mm(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *weights, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <span class="keywordtype">bool</span> is_interleaved, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_g_e_m_m_reshape_info.xhtml">GEMMReshapeInfo</a> &amp;reshape_info = <a class="code" href="classarm__compute_1_1_g_e_m_m_reshape_info.xhtml">GEMMReshapeInfo</a>());</div><div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;</div><div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;    <a class="code" href="classarm__compute_1_1_assembly_kernel_glue.xhtml">AssemblyKernelGlueF32</a>                               _asm_glue;</div><div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;    <a class="code" href="classarm__compute_1_1_memory_group_base.xhtml">MemoryGroup</a>                                         _memory_group;</div><div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_im2_col_kernel.xhtml">NEIm2ColKernel</a>                                      _input_im2col_kernel;</div><div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_g_e_m_m_interleave4x4_kernel.xhtml">NEGEMMInterleave4x4Kernel</a>                           _input_interleave_kernel;</div><div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml">NEConvolutionLayerReshapeWeights</a>                    _reshape_weights;</div><div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml">NEGEMMMatrixMultiplyKernel</a>                          _mm_kernel;</div><div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml">NEGEMMLowpMatrixMultiplyCore</a>                        _mm_gemmlowp;</div><div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point.xhtml">NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint</a> _gemmlowp_output_stage;</div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_col2_im_kernel.xhtml">NECol2ImKernel</a>                                      _output_col2im_kernel;</div><div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_activation_layer.xhtml">NEActivationLayer</a>                                   _activationlayer_function;</div><div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;    <a class="code" href="classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml">NEArithmeticAdditionKernel</a>                          _add_bias_kernel;</div><div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;</div><div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *_original_weights;</div><div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;</div><div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;    <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> _input_im2col_reshaped;</div><div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;    <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> _input_interleaved_reshaped;</div><div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;    <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> _weights_reshaped;</div><div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;    <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> _gemm_output;</div><div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;    <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> _tmp_output;</div><div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;    <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> _workspace;</div><div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;    <a class="code" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> _B_pretransposed;</div><div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;</div><div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;    <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> _data_layout;</div><div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;    <span class="keywordtype">bool</span>       _append_bias;</div><div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;    <span class="keywordtype">bool</span>       _is_fully_connected_convolution;</div><div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;    <span class="keywordtype">bool</span>       _are_weights_reshaped;</div><div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;    <span class="keywordtype">bool</span>       _is_quantized;</div><div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;    <span class="keywordtype">bool</span>       _is_interleaved;</div><div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;    <span class="keywordtype">bool</span>       _is_activationlayer_enabled;</div><div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;    <span class="keywordtype">bool</span>       _skip_im2col;</div><div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;};</div><div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;}</div><div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* __ARM_COMPUTE_NECONVOLUTIONGEMMLAYER_H__ */</span><span class="preprocessor"></span></div><div class="ttc" id="_n_e_g_e_m_m_interleave4x4_kernel_8h_xhtml"><div class="ttname"><a href="_n_e_g_e_m_m_interleave4x4_kernel_8h.xhtml">NEGEMMInterleave4x4Kernel.h</a></div></div>
<div class="ttc" id="_n_e_g_e_m_m_matrix_multiply_kernel_8h_xhtml"><div class="ttname"><a href="_n_e_g_e_m_m_matrix_multiply_kernel_8h.xhtml">NEGEMMMatrixMultiplyKernel.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_function_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_function.xhtml">arm_compute::IFunction</a></div><div class="ttdoc">Base class for all functions. </div><div class="ttdef"><b>Definition:</b> <a href="_i_function_8h_source.xhtml#l00030">IFunction.h:30</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_convolution_layer_reshape_weights_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml">arm_compute::NEConvolutionLayerReshapeWeights</a></div><div class="ttdoc">Function to reshape and perform 1xW transposition on the weights. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_g_e_m_m_convolution_layer_8h_source.xhtml#l00056">NEGEMMConvolutionLayer.h:56</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a7cb842ebfe255726066039853a4322f0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a7cb842ebfe255726066039853a4322f0">arm_compute::test::validation::weights_info</a></div><div class="ttdeci">weights_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00360">Winograd.cpp:360</a></div></div>
<div class="ttc" id="classarm__compute_1_1_g_e_m_m_reshape_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_g_e_m_m_reshape_info.xhtml">arm_compute::GEMMReshapeInfo</a></div><div class="ttdoc">GEMM reshape information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01004">Types.h:1004</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point.xhtml">arm_compute::NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint</a></div><div class="ttdoc">Basic function to execute NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint on NEON. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_g_e_m_m_lowp_output_stage_8h_source.xhtml#l00119">NEGEMMLowpOutputStage.h:119</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_im2_col_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_im2_col_kernel.xhtml">arm_compute::NEIm2ColKernel</a></div><div class="ttdoc">Interface for the im2col reshape kernel. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_im2_col_kernel_8h_source.xhtml#l00057">NEIm2ColKernel.h:57</a></div></div>
<div class="ttc" id="_n_e_g_e_m_m_lowp_matrix_multiply_core_8h_xhtml"><div class="ttname"><a href="_n_e_g_e_m_m_lowp_matrix_multiply_core_8h.xhtml">NEGEMMLowpMatrixMultiplyCore.h</a></div></div>
<div class="ttc" id="_n_e_g_e_m_m_lowp_output_stage_8h_xhtml"><div class="ttname"><a href="_n_e_g_e_m_m_lowp_output_stage_8h.xhtml">NEGEMMLowpOutputStage.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a></div><div class="ttdoc">Store the tensor&amp;#39;s metadata. </div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00040">ITensorInfo.h:40</a></div></div>
<div class="ttc" id="_n_e_arithmetic_addition_kernel_8h_xhtml"><div class="ttname"><a href="_n_e_arithmetic_addition_kernel_8h.xhtml">NEArithmeticAdditionKernel.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_status_xhtml"><div class="ttname"><a href="classarm__compute_1_1_status.xhtml">arm_compute::Status</a></div><div class="ttdoc">Status class. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00051">Error.h:51</a></div></div>
<div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml">arm_compute::ActivationLayerInfo</a></div><div class="ttdoc">Activation Layer Information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00809">Types.h:809</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml">arm_compute::ITensor</a></div><div class="ttdoc">Interface for NEON tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_8h_source.xhtml#l00036">ITensor.h:36</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_col2_im_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_col2_im_kernel.xhtml">arm_compute::NECol2ImKernel</a></div><div class="ttdoc">NEON kernel to perform col2im reshaping. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_col2_im_kernel_8h_source.xhtml#l00053">NECol2ImKernel.h:53</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_g_e_m_m_convolution_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_g_e_m_m_convolution_layer.xhtml">arm_compute::NEGEMMConvolutionLayer</a></div><div class="ttdoc">Basic function to simulate a convolution layer. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_g_e_m_m_convolution_layer_8h_source.xhtml#l00102">NEGEMMConvolutionLayer.h:102</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">This file contains all available output stages for GEMMLowp on OpenCL. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00001">00_introduction.dox:1</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_weights_reshape_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_weights_reshape_kernel.xhtml">arm_compute::NEWeightsReshapeKernel</a></div><div class="ttdoc">NEON kernel to perform reshaping on the weights used by convolution and locally connected layer...</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_weights_reshape_kernel_8h_source.xhtml#l00056">NEWeightsReshapeKernel.h:56</a></div></div>
<div class="ttc" id="_n_e_fill_border_kernel_8h_xhtml"><div class="ttname"><a href="_n_e_fill_border_kernel_8h.xhtml">NEFillBorderKernel.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_weights_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_weights_info.xhtml">arm_compute::WeightsInfo</a></div><div class="ttdoc">Convolution Layer Weights Information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00944">Types.h:944</a></div></div>
<div class="ttc" id="_n_e_g_e_m_m_transpose1x_w_kernel_8h_xhtml"><div class="ttname"><a href="_n_e_g_e_m_m_transpose1x_w_kernel_8h.xhtml">NEGEMMTranspose1xWKernel.h</a></div></div>
<div class="ttc" id="_n_e_activation_layer_8h_xhtml"><div class="ttname"><a href="_n_e_activation_layer_8h.xhtml">NEActivationLayer.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_g_e_m_m_interleave4x4_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_g_e_m_m_interleave4x4_kernel.xhtml">arm_compute::NEGEMMInterleave4x4Kernel</a></div><div class="ttdoc">NEON kernel to interleave the elements of a matrix. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_g_e_m_m_interleave4x4_kernel_8h_source.xhtml#l00052">NEGEMMInterleave4x4Kernel.h:52</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_convolution_layer_reshape_weights_xhtml_aa73f27bae7aaea24f0950554a75eabb5"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml#aa73f27bae7aaea24f0950554a75eabb5">arm_compute::NEConvolutionLayerReshapeWeights::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, bool transpose1xW)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of NEConvolutionLayerReshap...</div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb"><div class="ttname"><a href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">arm_compute::Channel::U</a></div><div class="ttdoc">Cb/U channel. </div></div>
<div class="ttc" id="_n_e_col2_im_kernel_8h_xhtml"><div class="ttname"><a href="_n_e_col2_im_kernel_8h.xhtml">NECol2ImKernel.h</a></div></div>
<div class="ttc" id="_assembly_helper_8h_xhtml"><div class="ttname"><a href="_assembly_helper_8h.xhtml">AssemblyHelper.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_g_e_m_m_transpose1x_w_kernel.xhtml">arm_compute::NEGEMMTranspose1xWKernel</a></div><div class="ttdoc">NEON kernel which transposes the elements of a matrix in chunks of 1xW, where W is equal to (16 / ele...</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_g_e_m_m_transpose1x_w_kernel_8h_source.xhtml#l00068">NEGEMMTranspose1xWKernel.h:68</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor.xhtml">arm_compute::Tensor</a></div><div class="ttdoc">Basic implementation of the tensor interface. </div><div class="ttdef"><b>Definition:</b> <a href="runtime_2_tensor_8h_source.xhtml#l00037">Tensor.h:37</a></div></div>
<div class="ttc" id="classarm__compute_1_1_pad_stride_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_pad_stride_info.xhtml">arm_compute::PadStrideInfo</a></div><div class="ttdoc">Padding and stride information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00571">Types.h:571</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_arithmetic_addition_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_arithmetic_addition_kernel.xhtml">arm_compute::NEArithmeticAdditionKernel</a></div><div class="ttdoc">Interface for the kernel to perform addition between two tensors. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_arithmetic_addition_kernel_8h_source.xhtml#l00035">NEArithmeticAdditionKernel.h:35</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_convolution_layer_reshape_weights_xhtml_ad1717410afd0be936c6213a63c8005fb"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml#ad1717410afd0be936c6213a63c8005fb">arm_compute::NEConvolutionLayerReshapeWeights::run</a></div><div class="ttdeci">void run() override</div><div class="ttdoc">Run the kernels contained in the function. </div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_acbf8f8a6dd185de04c1981c57a8963cf"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#acbf8f8a6dd185de04c1981c57a8963cf">arm_compute::test::validation::conv_info</a></div><div class="ttdeci">conv_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00360">Winograd.cpp:360</a></div></div>
<div class="ttc" id="_memory_group_8h_xhtml"><div class="ttname"><a href="_memory_group_8h.xhtml">MemoryGroup.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_convolution_layer_reshape_weights_xhtml_ad20905ddab1af56320f0be3d9921fd6c"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml#ad20905ddab1af56320f0be3d9921fd6c">arm_compute::NEConvolutionLayerReshapeWeights::NEConvolutionLayerReshapeWeights</a></div><div class="ttdeci">NEConvolutionLayerReshapeWeights(std::shared_ptr&lt; IMemoryManager &gt; memory_manager=nullptr)</div><div class="ttdoc">Constructor. </div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_activation_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_activation_layer.xhtml">arm_compute::NEActivationLayer</a></div><div class="ttdoc">Basic function to run NEActivationLayerKernel. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_activation_layer_8h_source.xhtml#l00039">NEActivationLayer.h:39</a></div></div>
<div class="ttc" id="_n_e_g_e_m_m_assembly_base_kernel_8h_xhtml"><div class="ttname"><a href="_n_e_g_e_m_m_assembly_base_kernel_8h.xhtml">NEGEMMAssemblyBaseKernel.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_memory_group_base_xhtml"><div class="ttname"><a href="classarm__compute_1_1_memory_group_base.xhtml">arm_compute::MemoryGroupBase&lt; Tensor &gt;</a></div></div>
<div class="ttc" id="_i_function_8h_xhtml"><div class="ttname"><a href="_i_function_8h.xhtml">IFunction.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_size2_d_xhtml"><div class="ttname"><a href="classarm__compute_1_1_size2_d.xhtml">arm_compute::Size2D</a></div><div class="ttdoc">Class for specifying the size of an image or rectangle. </div><div class="ttdef"><b>Definition:</b> <a href="_size2_d_8h_source.xhtml#l00034">Size2D.h:34</a></div></div>
<div class="ttc" id="_n_e_im2_col_kernel_8h_xhtml"><div class="ttname"><a href="_n_e_im2_col_kernel_8h.xhtml">NEIm2ColKernel.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_convolution_layer_reshape_weights_xhtml_a65f7ed488a31b8d40862e6f06cd7e70c"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_layer_reshape_weights.xhtml#a65f7ed488a31b8d40862e6f06cd7e70c">arm_compute::NEConvolutionLayerReshapeWeights::configure</a></div><div class="ttdeci">void configure(const ITensor *weights, const ITensor *biases, ITensor *output, bool transpose1xW)</div><div class="ttdoc">Set the input and output tensors. </div></div>
<div class="ttc" id="classarm__compute_1_1_assembly_kernel_glue_xhtml"><div class="ttname"><a href="classarm__compute_1_1_assembly_kernel_glue.xhtml">arm_compute::AssemblyKernelGlue&lt; float, float &gt;</a></div></div>
<div class="ttc" id="arm__compute_2core_2_types_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_types_8h.xhtml">Types.h</a></div></div>
<div class="ttc" id="runtime_2_tensor_8h_xhtml"><div class="ttname"><a href="runtime_2_tensor_8h.xhtml">Tensor.h</a></div></div>
<div class="ttc" id="_n_e_weights_reshape_kernel_8h_xhtml"><div class="ttname"><a href="_n_e_weights_reshape_kernel_8h.xhtml">NEWeightsReshapeKernel.h</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">arm_compute::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdoc">Supported tensor data layouts. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00110">Types.h:110</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_g_e_m_m_lowp_matrix_multiply_core.xhtml">arm_compute::NEGEMMLowpMatrixMultiplyCore</a></div><div class="ttdoc">Basic function to execute GEMMLowpMatrixMultiplyCore on NEON. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_g_e_m_m_lowp_matrix_multiply_core_8h_source.xhtml#l00054">NEGEMMLowpMatrixMultiplyCore.h:54</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_g_e_m_m_matrix_multiply_kernel.xhtml">arm_compute::NEGEMMMatrixMultiplyKernel</a></div><div class="ttdoc">NEON kernel to multiply two input matrices &quot;A&quot; and &quot;B&quot;. </div><div class="ttdef"><b>Definition:</b> <a href="_n_e_g_e_m_m_matrix_multiply_kernel_8h_source.xhtml#l00039">NEGEMMMatrixMultiplyKernel.h:39</a></div></div>
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